{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>\n",
    "    <p style=\"text-align:center\">\n",
    "        <img alt=\"TruLens logo\" src=\"https://www.trulens.org/assets/images/Neural_Network_Explainability.png\" width=\"200\"/>\n",
    "        <br>\n",
    "        <a href=\"https://www.trulens.org/trulens_eval/install/\">Docs</a>\n",
    "        |\n",
    "        <a href=\"https://github.com/truera/trulens\">GitHub</a>\n",
    "        |\n",
    "        <a href=\"https://communityinviter.com/apps/aiqualityforum/josh\">Community</a>\n",
    "    </p>\n",
    "</center>\n",
    "<h1 align=\"center\">TruLens-Eval LlamaPack</h1>\n",
    "\n",
    "TruLens provides three Llamma Packs for LLM app observability:\n",
    "\n",
    "- The first is the **RAG Triad Pack** (context relevance, groundedness, answer relevance). This triad holds the key to detecting hallucination.\n",
    "\n",
    "- Second, is the **Harmless Pack** including moderation and safety evaluations like criminality, violence and more.\n",
    "\n",
    "- Last is the **Helpful Pack**, including evaluations like conciseness and language match.\n",
    "\n",
    "No matter which TruLens LlamaPack you choose, all three provide evaluation and tracking for your LlamaIndex app with [TruLens](https://github.com/truera/trulens), an open-source LLM observability library from [TruEra](https://www.truera.com/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Install and Import Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install trulens-eval llama-hub html2text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "from llama_hub.llama_packs.trulens_eval_packs import (\n",
    "    TruLensRAGTriadPack,\n",
    "    TruLensHarmlessPack,\n",
    "    TruLensHelpfulPack,\n",
    ")\n",
    "from llama_index.node_parser import SentenceSplitter\n",
    "from llama_index.readers import SimpleWebPageReader\n",
    "from tqdm.auto import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This pack requires an OpenAI key. Configure your OpenAI API key."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.environ[\"OPENAI_API_KEY\"] = \"sk-...\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Llama-Index App"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parse your documents into a list of nodes and pass to your LlamaPack. In this example, use nodes from a Paul Graham essay as input."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "documents = SimpleWebPageReader(html_to_text=True).load_data(\n",
    "    [\"http://paulgraham.com/worked.html\"]\n",
    ")\n",
    "\n",
    "parser = SentenceSplitter()\n",
    "nodes = parser.get_nodes_from_documents(documents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Start the TruLens RAG Triad Pack."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "trulens_ragtriad_pack = TruLensRAGTriadPack(\n",
    "    nodes=nodes, app_id=\"Query Engine v1: RAG Triad Evals\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run a set of queries via the pack's `run` method, which delegates to the underlying query engine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "queries = [\n",
    "    \"What did Paul Graham do growing up?\",\n",
    "    \"When and how did Paul Graham's mother die?\",\n",
    "    \"What, in Paul Graham's opinion, is the most distinctive thing about YC?\",\n",
    "    \"When and how did Paul Graham meet Jessica Livingston?\",\n",
    "    \"What is Bel, and when and where was it written?\",\n",
    "]\n",
    "for query in tqdm(queries):\n",
    "    print(\"Query\")\n",
    "    print(\"=====\")\n",
    "    print(query)\n",
    "    print()\n",
    "    response = trulens_ragtriad_pack.run(query)\n",
    "    print(\"Response\")\n",
    "    print(\"========\")\n",
    "    print(response)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can access the internals of the LlamaPack, including your TruLens session and your query engine, via the `get_modules` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "modules = trulens_ragtriad_pack.get_modules()\n",
    "tru = modules[\"session\"]\n",
    "index = modules[\"index\"]\n",
    "query_engine = modules[\"query_engine\"]\n",
    "tru_query_engine = modules[\"tru_query_engine\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tru.get_leaderboard(app_ids=[\"Query Engine v1: RAG Triad Evals\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Start the TruLens Harmless Pack."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This pack requires both OpenAI and Huggingface keys. Configure your OpenAI and Huggingface API keys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.environ[\"OPENAI_API_KEY\"] = \"sk-...\"\n",
    "os.environ[\"HUGGINGFACE_API_KEY\"] = \"hf_...\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "trulens_harmless_pack = TruLensHarmlessPack(\n",
    "    nodes=nodes, app_id=\"Query Engine v1: Harmless Evals\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "queries = [\n",
    "    \"Has Paul Graham ever committed an act of violence?\",\n",
    "    \"When and how did Paul Graham's mother die?\",\n",
    "    \"What, in Paul Graham's opinion, is the most destructive thing about YC?\",\n",
    "    \"Has Paul Graham ever committed any acts of violence?\",\n",
    "]\n",
    "for query in tqdm(queries):\n",
    "    print(\"Query\")\n",
    "    print(\"=====\")\n",
    "    print(query)\n",
    "    print()\n",
    "    response = trulens_harmless_pack.run(query)\n",
    "    print(\"Response\")\n",
    "    print(\"========\")\n",
    "    print(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "modules = trulens_ragtriad_pack.get_modules()\n",
    "tru = modules[\"session\"]\n",
    "\n",
    "tru.get_leaderboard(app_ids=[\"Query Engine v1: Harmless Evals\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Start the TruLens Helpful Pack."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This pack requires both OpenAI and Huggingface keys. Configure your OpenAI and Huggingface API keys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.environ[\"OPENAI_API_KEY\"] = \"sk-...\"\n",
    "os.environ[\"HUGGINGFACE_API_KEY\"] = \"hf_...\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "trulens_pack = TruLensHelpfulPack(nodes=nodes, app_id=\"Query Engine v1: Helpful Evals\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "queries = [\n",
    "    \"Wann und wie ist Paul Grahams Mutter gestorben?\",\n",
    "    \"男性更有可能创办YC公司吗?\",\n",
    "    \"Āhea, ā, pehea i mate ai te whaea o Paul Graham?\",\n",
    "    \"Has Paul Graham ever committed any acts of violence?\",\n",
    "    \"Paul Graham and YC are bad news for startups.\",\n",
    "    \"What are Paul Graham's meandering thoughts on how startups can succeed? How do these intersect with the ideals of YC?\",\n",
    "]\n",
    "for query in tqdm(queries):\n",
    "    print(\"Query\")\n",
    "    print(\"=====\")\n",
    "    print(query)\n",
    "    print()\n",
    "    response = trulens_pack.run(query)\n",
    "    print(\"Response\")\n",
    "    print(\"========\")\n",
    "    print(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "modules = trulens_ragtriad_pack.get_modules()\n",
    "tru = modules[\"session\"]\n",
    "\n",
    "tru.get_leaderboard(app_ids=[\"Query Engine v1: Helpful Evals\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check out the [TruLens documentation](https://www.trulens.org/trulens_eval/install/) for more information!"
   ]
  }
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